Bayesian Approach to the Analysis of Fluorescence Correlation Spectroscopy Data II: Application to Simulated and In Vitro Data

Bayesian Approach to the Analysis of Fluorescence Correlation Spectroscopy Data II: Application to Simulated and In Vitro Data

Fluorescence correlation spectroscopy (FCS) is a powerful approach to characterizing the binding and transport dynamics of macromolecules. The unbiased interpretation of FCS data relies on the evaluation of multiple competing hypotheses to describe an underlying physical process under study, which i...

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Bibliographic Details
Main Authors: Guo, Syuan-Ming (Contributor), He, Jun (Contributor), Monnier, Nilah (Contributor), Sun, Guangyu (Author), Wohland, Thorsten (Author), Bathe, Mark (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Biological Engineering (Contributor), Massachusetts Institute of Technology. Department of Chemistry (Contributor), Massachusetts Institute of Technology. Laboratory for Computational Cell Biology & Biophysics (Contributor)
Format: Article
Language:English
Published: American Chemical Society (ACS), 2014-12-11T20:01:17Z.
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